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Air pollution and adverse effects of pollution caused by the combustion of fossil fuels in urban settlements are among the important environmental issues of metropolises that need to pay attention to ways to reduce air pollution in cities. Global experience has shown that urban form indicators are one of the most important factors affecting air pollution and energy consumption in the city. Therefore, paying attention to the form of the city plays an important role in the long-term perspective of cities for better air quality. The present study is applied in terms of purpose and descriptive-analytical in terms of method. In order to collect the required data and information, library and documentary methods have been used. To analyze the data and answer the research questions, the Moran statistical technique was used in the GIS software environment. The results of this study showed that the air pollution situation in Tabriz in terms of air pollutants, ie sulfur dioxide, nitrogen dioxide, carbon monoxide in the second half of the year is more than the first half of the year, so that among the air monitoring stations The field had the highest number of air pollution. Also, the results of the study of the effect of urban form and land use pattern on air pollution showed that urban form and land use are effective on air pollution.

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 many geomorphic landforms have fractal structures and their formation and transformation can be explained by mathematical relations. The purpose of this study is to identify and analyze the fractal behavior of landforms of macro geomorphologic regions of Iran,as well as studying and analyzing topographic and landform characteristics based on fractal relationships, and also, analyzing the characteristics of dominant geomorphologic processes based on the theory of fractals. In this study, the contour lines of different landforms of Iran (according to the territorial types) including mountains,hills, plateaus, Plain Domains, Fan Breakout, fan alluvial, for pixel sizes of 30,90,200 m, were drawn and their fractal dimension was estimated by using the box-counting method. The morphometric characteristics of the landforms and their fractal dimensions with indexes (max, mean and standard deviation) related to the five variables (height, gradient, profile curvature and planar curvature of the metric) were analyzed by Arc GIS software at each layer.After investigating their correlation with the fractal dimension, the regression analysis was performed binary and the relationship between the fractal dimension,topography, landforms and processes was analyzed. The fractal dimension has the highest correlation coefficient with the gradient and the standard deviation indices, and the lowest coefficient with the profile curvature and the mean index Moreover, for larger pixel sizes, the correlation coefficient decreases between the indices and the fractal dimension.This research can provide a ground for further research on fractal geometry in geography, geomorphology, geology, environment and other Earth sciences.

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The basic purpose of this research is to reveal the physical development process of the new city of Sahand, as one of the new cities of the country, using Landsat satellite images during the statistical period of 1401-1373. In this regard, satellite images required for 4 statistical periods of 1373, 1383, 1393, and 1401 were obtained from two Landsat 5 and 8 satellites. By running a band calculation function on the images of TM and OLI sensors, the values ​​of the physical changes of the urban fabric during the investigated time steps in Sahand city were calculated and extracted. The results of this research indicated that the physical growth and development of the city of Sahand has started since 2013. This year, the area of ​​the urban fabric has reached 282 hectares, which is a 28-fold increase compared to 2013. But in the next decade, i.e. 2013, the area of ​​the city reached 570 hectares with a 100% growth compared to the previous decade, and finally, in the last decade, the area of ​​the city reached 850 hectares with a growth rate of 50%. District 6 of Sahand city, which accounts for about 35% of the physical fabric of the city, has been one of the fastest growing areas of the city during the decades of 1393-1400. Considering that a significant correlation at the confidence level of 0.95 (P_value=0.05) was revealed between the population growth and the physical development of Sahand during the statistical period of 1380-1400 (R=0.91), therefore, the fitted regression model between the population growth And the growth of the urban fabric, by placing the proposed population density of this city after the implementation of Mehr housing policies (185 thousand people), it showed that the area of ​​the physical fabric of this city will reach 1181 hectares in the next decade and will face a growth of 38%.
 

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Using urban growth and development modeling, it is possible to draw a development trend appropriate to the city's position according to environmental and natural factors and population attraction. The purpose of this study is to represent a model of urban development in Shushtar that can be used as a felicitous tool to analyze the complex processes of urban development. To achieve this goal, two databases consist of urban land use maps for educational, medical, habitation, etc and Landsat satellite images for major land uses such as rivers, barren areas, forests, etc were used by GIS and MATLAB software environment in three time periods 1991, 2004 and 2014. Existing urban land use maps were updated by using Landsat satellite imagery after digitization. Then the effective parameters in urban development were entered as inputs with the adaptive neuro-fuzzy inference algorithm (ANFIS). in order to evaluate the performance of the proposed method, training for 1991 and 2004 was performed. the result of urban development forecasting using the algorithm was compared with the current situation in 2014. The results are very close to reality and with an accuracy of 93.7%. The land use change map, which is the result of the change detection process, can be prepared based on multi-time remote sensing images and combined with urban user maps, and the relevant consequences examined. The use of intelligent algorithms in this research has allowed us to execute modeling with high accuracy. The results are satisfactory and this development was predicted for the coming years.
 

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Iran's rural settlements, in spite of their comprehensive and multi-faceted developments in the last decades, are still considered to be among the settlements faced with crucial challenges in the face of environmental hazards. As a result, prearrangement for upcoming events and disasters, as well as paying attention to the management of rural disaster in dealing with particularly natural events turn out to be necessary. The rural areas of Sarwabad, in Kurdistan, are also considered among the areas susceptible to natural disasters, such as floods, earthquakes, and landslides. The purpose of the research is the identification of settlements, and safe and hazardous landslide zones with particular focus on disaster management in Sarwabad. This research is methodologically analytical and essentially functional, and, by using geographical information system (GIS) and the analytical hierarchical process (AHP), the researchers analyzed the data and the layers and provided the ultimate version of combined hazard maps and also overlaying maps for the purpose of factorial assessment. The findings have been in the form of spatio-populatory analysis of the settlements, and resulted in identifying the safe and unsafe villages and zones. Moreover, it is found that nearly 46 percent of the rural population and 31 villages of the area are located in safe or low-hazard-level landslides, while the rest of the settlements and rural population are located in the mid and high-hazard-level zones and, as such, are need to be secured in these zones.

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Global warming and the meaningful relationship between temperature and precipitation changes over different areas of the earth with temperature increment of the earth, are considered as the most important patterns of this century’s climate changes. Today, there is debate over climate change and global temperatures increasing. Damaging effects of this phenomenon on the planet is one of the most challenging issues in global scale. Because of this, the research ahead is done for the detection of global warming on maximum temperatures, monthly and periodic (hot and cold) as well. For this study, two groups of data, temperature data of 17 synoptic stations and corresponding amounts of data in global temperature anomalies were figured out over 60 years period of time (1951 to 2010). Goals, the Pearson correlation method for detecting relationships between data's, linear and polynomial regression for trend analysis time series data , To illustrate the correlation between the spatial distribution of temperature data with global warming stations nationwide Geostatistical model Finally, non-parametric test for detecting significant temperature change Man - Kendall were used. According to the results impact of global warming on the maximum temperature in the cold months like January, December and November should be much lower, and the highest in spring and summer season in the southern stations such as Abadan, Ahwaz and Shiraz seen. The above process is also evident in periods of hot and cold temperatures and the influence of the stations temperature of the warm period of global warming were higher than cold period and represent an increase in the temperature of the warm period of years. In between, the number of stations as well as Anzali, Urmia and Khorramabad stations in some months had the opposite influence of global warming and seen drop in the maximum temperatures of them. It is also observed in the results obtained from the analysis period. Station's maximum temperature trend change is represents significant in the summer month. Changes trend in the months of July, August and September, is significant that the process is more pronounced in the southern stations. Significant analysis trend changes have been taken in periods (cold and hot) in studied stations indicative of its significance in warm period.

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With the aim of development and reducing regional inequalities, regional planning is one of the most important subiects in developing countries. Regional planning requires the identification of the position of areas relative to each other in terms of their development. The aim of this study is to investigate and assess the level of Kermanshah province in terms of development indicators in order to find out the level of regional inequalities. The population of Kermanshah province is considered as statistical population. According to the investigated parameters of the research approach, it is “Descriptive - quantitative and analytical". This research is trying to use the 61 indicators based on 1390 almanac statistics and utilizes three statistical techniques of Vikor, Electre, SAW and integration of  results with Copeland  technique, classify existing inequalities in Kermanshah province. The results show that the Levels of development has been unbalanced and there is large gap and inequality among different cities of province in terms of development. The difference and inequality exist in various sectors of infrastructure such as economic, health, education, culture, social welfare and social. Only one city Gilangharb is developed and the rest of cities are semi- developed and deprived. To reduce inequalities in development in the province it is suggested that distribution of health, education and infrastructure indicators should be directed towards balanced growth and the index of infrastructure be emphasized more than the other indicators.                                            
 

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Agricultural sector has an important role in development of countries. One of the obstacles to development in this sector, especially in Iran is significant fragmentation of agricultural lands. The aim of this study is to assess the farmers’ willingness to participate in land consolidation project using structural equation modeling. The population of this study consists of all farmers of Meymeh County and its surrounding cities and villages and Niloofar-Abi cooperative of Vazvan city. Data were collected on a sample of 156 farmers through face-to-face interviews based on a comprehensive structured questionnaire. Before the survey, the reliability and validity of questionnaire was initially evaluated on a pre-test study respectively by using Cronbach’s alpha coefficient, expert’s judgment and Kaiser-Meyer-Olkin (KMO) criteria. The results of this study show that the most important factors on farmers' willingness to participation are crop acreage and number of plots which respectively has the greatest positive and negative effect. The awareness of the farmers about benefit of consolidation project is another factor which has significant and positive impact on farmers' willingness. Furthermore, level of farmers schooling has no significant effect.

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According to urban environment complexity and dynamism and need to targeted land use change, incorporation GIS and PSS in the form of Spatial Planning Support Systems is inevitable. The aim of this study is to develop a spatial planning support system for urban land uses change (ULCMS), such that planners can enter expert knowledge in the form of desired criteria and weights and see their influence in results. The developed system including modules for land suitability evaluation, calculation of the area of required land and land use change. Access models, neighborhood models and Multi Criteria Decision Making methods, fuzzy operators, linear regression, maximum potential and hierarchical optimization models is used in planning and implementation these modules. System practical test performed for measuring residential, commercial, industrial, agriculture and service land use changes for the year 1390 and 1395 in Shiraz city. The result shows that ULCMS help users in better understanding, showing complexity of land use system and development and improvement land management strategies for the creation of better balance between urban expansion and environmental conservation.

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Expansion of urban areas has impacted on climate in local and global scale. As a result, residents’ life would be influenced accordingly. In this study, the effects of changes in land cover and land use change on climate of Shiraz and Fasa were studied in a long-term period. To ensure the normal data, Kolmogrov-Smirnoff test was employed. The minimum and maximum temperature parameters and relative humidity were evaluated using non-parametric Mann-Kendall and regression method in a 45-year period (1966-2010). The results showed a decreasing trend for the minimum temperature and humidity for Fasa and minimum and maximum relative humidity for Shiraz whereas other quantities showed an increasing trend. The study examined the effects of land use changes and land cover types in the 23-year period (1987-2010) using images of LANDSAT satellite of TM sensor on temperature pattern in two cities. During these 23 years, a reduction of 113 square kilometers for barren land of Shiraz and 5/7 square kilometers for barren land of Fasa and extending 110 kilometers residential users and 3/5 square kilometers in Shiraz and Fasa were reported.

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The KabirKooh landslide was studied as one of the immediate catastrophic events which causes falling rocks from the KabirKooh hillside and the obstruction of the Seymarreh river course and also formed a lot of geomorphologi­cal shapes in this area. This landslide was located at 5 km of the Poldokhtar city at the south between the Ilam and Lorestan province. The main purpose of this research to provide and analyzie of Morp­hom­­­etric feature of the landslide inclusive, width of the rupture surface (), length of the displaced mass (), length of the rupturesurface(), width of the displaced mass (), the depth of the rupture surface (), the depth of the displaced mass to it will be discussed (),(/),(/), (/) and volume. For this work by using by using Global mapper11 software, to be conform the topographic area maps in the scale of 1/50000 and the digital elevation model. Arc Gis 9.3 and Surfer 10 software was used for preparing and producing new data and information. Considering the analyse of this indexs is, : equal to 15/5 ,: 16/06, :15.5,: 300 M,: 300 M, /:0.50, /:51.67, /:26.03 and volume 3908200970 .

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The goal of this study is to identify farms which are affected by wheat rust disease. For this, the sensor data of Landsat 7 satellites in growing season of 2013 and 2014 along with some laboratorial data containing reflectance spectrum of leaf and leaf health degree in different levels of disease are used. The reflectance values of leaf are collected by an ASD spectroradiometer in the range of red and near infrared spectrum. The spectral are simulated for Landsat sensor bands using their spectral response functions. Then with the index of DVI and data obtained for leaf health, the Wheat Health Index was introduced. The correlation coefficient obtained is 0.82 and the relevant RMSE is 0.089 which is really good result for diagnosing highly advanced disease. The results show that, this index has a good performance in wheat high growing season when the greenness is high. It can diagnose regions that are healthy from those whom are blighted. Because the WHI index is a spectral index and is sensitive to leaf color, if the acquired images are close to the harvesting time, its performance will be weakened. The selected region in this survey is located in Fars, province, Saadatshahr city.

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Landslide mapping is one of the approaches (which can be) used to define the slope stable critical areas and the maps prepared based on this demarcating are used in desining sustainable development. The purpose of this study is to compare the landslide susceptibility mapping models based on Fuzzy logic, Information value and area Density applied in the Chamsangar watershed. According to the tectonic and Iran old basins divisions, this basin is a part of folded Zagros. To study the stability of slopes in the Chamsang field, in first step the sliding point and subsequent distribution maps of landslide were prepared using satellite images and field visits (recording the sliding points by GPS). in this study, Landslide-related factors such slope, aspect, altitude, lithology, rainfall, landuse and distance from the road and drainage used in the landslide susceptibility analyses. To assess and classify was there models outputs the Sum of Quality (QS) index used. Results show that area Density model with QS=1.85 is the more suitable than Information value model with QS=1.60 and Fuzzy logic with QS=0.554 based on the out put of the area Density model, the 36.31, 44.78, 16.62, 1.65, and 0.63 percent of the area is located in very low, low, medium, high and very high risk classes, respectively.

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Landforms and geomorphological processes is the most important factors that affecting dispersion and quality of building materials.  Case study, consisting of both new and old alluvial fans is located in the West of the city of Sabzevar. The aim of this study was to investigate the process of freezing and thawing in the durability and quality of materials taken from the alluvial fans old and new. To achieve this goal, we dug four wells in different parts of new and old of fans. The examples of large and small stones from the depths of one meter, two meters, three meters and four, wells were removed. Then to measure resistance of material, against freezing and thawing, freezing and thawing tests were performed on all samples. According to the test on three outcomes for this study was obtained. First: weight loss of samples of the new fans of head is greater, compared with other samples are taken   because of the waters. Second, samples of the new fans head because the waters have greater weight loss compared with other samples are taken. Therefore, samples of new fans is fine-grained as possible. Thirdly, if the target is high-quality materials, best materials is made of metamorphic minerals, such as andesite and pyroxene.

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Landslide, due to its dangerous nature in mountainous areas, usually causes morphology to suddenly collapse and causes major damage to residential areas, roads, agricultural lands, and so on. In this study, using the AHP model and fuzzy logic operators, we evaluated and zoned the landslide sensitivity in the Pseudogene basin in Razavi Khorasan province. The eight main criteria of elevation, slope, tilt direction, distance from the waterway, distance from the road, distance from the fault, geology and land use associated with the occurrence of landslide phenomena were examined in total. The sub-criteria were weighted and fuzzy using the Frequency Ratio Model. The weight of the criteria was also determined using the AHP model. Then the landslide susceptibility map was prepared using fuzzy operators 9 / 0.8 / 0 and 0.7 and verified using the ROC curve. The results showed that the gradient factor had the most effect and land use factor had the least effect on the occurrence of slip in the basin. Validation results of the model showed a 90% accuracy of the landslide sensitivity map with a 0.7% operator in the basin. Therefore, the fuzzy gamma model with the 7th operator provides the best form of landslide susceptibility map in the Pseudogene basin.
 

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Remote sensing technology is one of the most efficient and innovative technologies for agricultural land use/cover mapping. In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. This approach make use of spectral, environmental, physical and geometrical characteristics (e.g. texture, shape) together images contexts for modeling of land use/cover classes. The main objective of this study is to classify micro land use/cover of Meyandoab County by applying appropriate and effective algorithms and parameters in the object based approach. For this goal, Quick Bird and Aster satellite images were used within the integrated approach for processing and land use modeling. Accordingly, the land use map was classified in 9 class based on spectral and spatial characteristics.  In order to perform OBIA, the segmentation was applied in the scale of 10, shape parameter of 0.7 as well as the compactness of 0.3. In terms of the classification task, fuzzy based algorithm and operators (AND, OR) was applied to detriment the membership functionality of segments for each class as well as classifying the related objects.  We also applied textures, geometric, NDVI, GLCM, brightness algorithms based on fuzzy operators and assign class algorithm. In order to applying the validation of results, the accuracy assessment step was performed and the finally overall accuracy of 93.6 was obtained for the derived map. The Kappa coefficient was also detriment to be 0.92. The area under cultivation included respectively for lands of wheat and barley, prunes and plums, apples, vineyards and alfalfa hay2622.42, 4505, 4354.55, 4457.85, 14110.58 hectares.
 

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